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Scientific paper ID 1996 : 2020/3
![]() MODEL FOR DETERMINING THE NUMBER OF VEHICLES FOR URBAN
PASSENGER TRANSPORT
Silvia Assenova, Mirena Todorova The road urban passenger transport is the main type of transport used by the people. It is
conditioned by its maneuverability and different driving ability, depending on the type of rolling stock. The municipalities give the ments for the type of rolling stock, moving on each bus line. It determines the number of lines, serving by a given type of rolling stock and the need to develop its schedules. By the following restrictions - set schedule on the route line, fixed time of arrival and departure from each stop on the route, the type of rolling stock, traffic in the city, the study investigates the options of vehicles serving given lines. It creates a model for a determination of the schedule and of the d number of vehicles, moving on the serviced routes. It sets limitations with main impact on the rolling stock schedule in order to minimize the number of vehicles. As a result, the main task of the study will be achieved - servicing given lines with minimum number of vehicles, which is optimal variant градски пътнически транспорт превозни средства пробег разписаниеurban passenger transport vehicles mileage scheduleSilvia Assenova Mirena Todorova BIBLIOGRAPHY [1] Assenova, Silvia, Optimal single-route vehicle scheduling, Journal Knowledge, Vol. 41 № 4 ISSN 2545-4439, 2020 [2] Ceder, A., Methods for creating bus timetables. Transportation Research, 21A (1), 59-83, 1986 [3] Ceder, A., A step function for improving transit operations planning using fixed and variable scheduling. In Transportation and Traffic Theory, (M.A.P. Taylor, ed), 1-21, Elsevier Science, 2002 [4] Ceder, A, Public Transit Planning and Operation: Theory, Modeling and Practice. 2007 Oxford, UK: Elsevier, Butterworth-Heinemann. This book was translated to Chinese by the Tsinghua publishing press, Beijing, China, June 2010. I-32 [5] Ceder, A., Public-Transport Vehicle Scheduling with Multi Vehicle-Type”. Journal of Transportation Research, 19C (3), 485-497, 2011 [6] Ceder, A. and Stern, H.I., Deficit function bus scheduling with deadheading trip insertion for fleet size reduction. Transportation Science, 15 (4), 338-363., 1981 [7] De Palma, A. and Lindsey, R., Optimal timetables for public transportation. Transportation Research, 35B, 789-813, 2001 [8] Dessouky, M., Hall, R., Nowroozi, A., and Mourikas, K., Bus dispatching at timed transfer transit stations using bus tracking technology. Transportation Research, 7C (4), 187-208.,1999 [9] Löbel, A., Solving large-scale multiple-depot vehicle scheduling problems. In Computer-Aided Transit Scheduling. Lecture Notes in Economics and Mathematical Systems, 471 (N. H. M. Wilson, ed.), pp. 193-220, Springer-Verlag, 1999 [10] Newell, G. F., Dispatching policies for a transportation route. Transportation Science, 5, 91- 105, 1971 |